WO2001073983A1 - Method and system for channel estimation using multi-slot averaged interpolation - Google Patents

Method and system for channel estimation using multi-slot averaged interpolation Download PDF

Info

Publication number
WO2001073983A1
WO2001073983A1 PCT/US2001/008423 US0108423W WO0173983A1 WO 2001073983 A1 WO2001073983 A1 WO 2001073983A1 US 0108423 W US0108423 W US 0108423W WO 0173983 A1 WO0173983 A1 WO 0173983A1
Authority
WO
WIPO (PCT)
Prior art keywords
slot
slots
symbol
symbols
under analysis
Prior art date
Application number
PCT/US2001/008423
Other languages
French (fr)
Inventor
Sooyeon Roe
Khalid A. Qaraq'e
Original Assignee
Cadence Design Systems, Inc.
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Cadence Design Systems, Inc. filed Critical Cadence Design Systems, Inc.
Priority to JP2001571584A priority Critical patent/JP2003529282A/en
Priority to EP01918746A priority patent/EP1266468A4/en
Priority to AU2001245788A priority patent/AU2001245788A1/en
Publication of WO2001073983A1 publication Critical patent/WO2001073983A1/en

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00Baseband systems
    • H04L25/02Details ; arrangements for supplying electrical power along data transmission lines
    • H04L25/0202Channel estimation
    • H04L25/0224Channel estimation using sounding signals
    • H04L25/0228Channel estimation using sounding signals with direct estimation from sounding signals
    • H04L25/023Channel estimation using sounding signals with direct estimation from sounding signals with extension to other symbols
    • H04L25/0232Channel estimation using sounding signals with direct estimation from sounding signals with extension to other symbols by interpolation between sounding signals

Definitions

  • the present invention relates generally to the field of telecommunications, and more particularly to the field of wireless communications.
  • Wireless communication systems are commonly employed to provide voice and data communications to a plurality of mobile units or subscribers.
  • TDMA Time Division Multiple Access
  • PCS Personal Communication Systems
  • CDMA Code Division Multiple Access
  • W-CDMA Wideband CDMA
  • figure 1 illustrates a transceiver in a wireless communications system.
  • a desired signal is subject to multipath fading (slow or fast) introduced by communication channel medium 72, which manifests itself as interference among many signal paths, each path having a different time delay.
  • pilot symbols are transmitted within the data symbols so as to estimate the fading channel characteristics and reduce signal errors. Fading may include long-term fading due to variations in terrain along the signal propagation path, as well as short-term multipath fading due to reflections from features such as buildings which cause fluctuations in received signal strength and other distortions at a receiving station.
  • Mobile terrestrial radiotelephone communications are particularly susceptible to multipath fading because the signal pathways tend to be close to the ground. Doppler shift-induced (Rayleigh) fading is also problematic for receivers and transmitters moving at high speeds relative to one another.
  • radiotelephone communications signals may be transmitted and received using diverse polarizations and combined at the receiver to take advantage of the low correlation of fading between signals of differing polarizations. Despite the theoretical advantages of these reception techniques, however, sufficient diversity gain may not be possible because of limitations on antenna placement.
  • a sequence of pilot symbols is time-multiplexed with information symbols, where the information symbols carry voice, data or other information.
  • This technique is often referred to as pilot symbol assisted modulation.
  • Symbol sequence 51 5 is communicated over the radiotelephone communications channel 72.
  • a despreader 630 separates pilot symbol data 632 corresponding to the transmitted pilot symbols from information symbol data corresponding to the transmitted information symbols.
  • the estimated transfer characteristic is then used in a Channel Estimator 640 to compensate estimation of the information symbols in response to distortion induced by the radio communications channel 72.
  • Pilot symbol assisted modulation can provide improved immunity to fading, but may have several drawbacks.
  • the error probability of symbol estimates tends to increase for those symbols which are most removed in time from the pilot symbols in the symbol sequence, contributing to the overall bit error rate for radiotelephone communications communicated over the channel.
  • pilot symbols may be inserted in the symbol sequence at smaller intervals to reduce the separation between the pilot symbols and to increase the accuracy of the estimated channel transfer characteristic.
  • pilot symbols generally have no information content, however, increasing the frequency of pilot symbols in the transmitted symbol sequence can reduce the potential information capacity of the channel, which may in turn reduce the number of channels a system can provide and the quality of each channel.
  • Adding pilot symbols may also reduce power efficiency by wasting transmit power on non- informational symbols. While time-multiplexed pilot symbols allow down link adaptive antennas at the base station to be implemented, embedded pilot symbols are few in number and have only the same energy as the rest of the data symbols, so challenges persist
  • time-multiplexed pilot symbols have taken on added commercial import because of the planned widespread adoption of W-CDMA as a next generation wireless communication standard, wherein time- multiplexed pilot symbols are to be used.
  • WMSA Weighted Multi-Slot Averaging
  • ICE Iterative Channel Estimation
  • Figure 2 illustrates the WMSA technique and operational principals, intended to improve upon using a single pilot symbol for channel transfer characteristic estimation (instantaneous channel estimation).
  • WCDMA downlink signals are transmitted in frames of duration 10ms and comprise 1 5 time slots with duration 0.66ms. For most data rates, there are four pilot symbols per time slot.
  • One way to estimate the channel transfer characteristic is therefore to average the pilot symbols from multiple time slots, thereby reducing the deleterious effect of random errors and signal aberrations.
  • 2*K sets of pilot symbols are averaged, with K sets preceding and K sets following the data symbols of the current time slot as shown in Figure 2.
  • the WMSA name is derived from the different weights applied to the pilot symbols depending on the distance from the time slot under analysis.
  • Figure 3 illustrates the known ICE method in block diagram format.
  • the standard WMSA channel transfer characteristic estimation method is used.
  • the estimation derived from the Oth iteration is then used to remove the data modulation for the symbols in the shaded block.
  • a sliding average window using both pilot and data symbols are used to make subsequent estimations.
  • the channel estimate illustrated in figure 4 applies only to second and later iterations, and is calculated for the symbol in the center of the window. In actuality, there is a different channel estimate for each symbol.
  • the number of symbols used in the moving average is chosen according to the approximate Doppler rate.
  • the invention provides an improved method for channel estimation, by interpolating demodulation values derived from an aggregate of a plurality of instantaneous channel estimations. It is therefore a first advantage of the invention to provide, in a radiotelephone communications system, the system including a transmitter transmitting a signal comprising a plurality of symbols grouped within time slots, a method of estimating a signal transfer characteristic at a receiver for each of the symbols, the method comprising the steps of calculating an instantaneous transfer characteristic estimation for each one of a first plurality of slots, the first plurality of slots including a first slot under analysis, combining the instantaneous channel estimations calculated for the first plurality of slots, creating a first multi-slot averaged estimate, calculating an instantaneous transfer characteristic estimation for each one of a second plurality of slots, the second plurality of slots including a second slot under analysis, combining the instantaneous channel estimations calculated for the second plurality of slots, creating a second multi-slot averaged estimate,
  • FIG. 1 schematically illustrates wireless communications systems and frame structure of time multiplexed pilot symbols for down link, available in the art.
  • FIG. 2 is a block diagram illustrating the available Weighted Multi-Slot Averaging (WMSA) channel estimation technique.
  • WMSA Weighted Multi-Slot Averaging
  • FIG. 3 is a block diagram illustrating Iterative Channel Estimation (ICE).
  • FIG. 4 further illustrates the available ICE technique.
  • FIG. 5 is a block diagram illustrating the method and system of the invention.
  • FIG. 6 graphically illustrates the multi-slot averaging and linear interpolation method and system of the invention.
  • FIGs. 7A and 7B illustrate the method and system of the invention within an iterative embodiment to provide increased accuracy.
  • FIG. 8 graphically illustrates the efficacy of the method and system of the invention through display of the data in Table 1 .
  • a block diagram illustrating the method of the present invention a plurality K (preferably three for typical speech data rates) of instantaneous channel estimations are derived from Np pilot symbols found within each of a like plurality K of adjacent slots centered around slot n-1 .
  • the instantaneous channel estimations from a plurality of slots are then combined to provide a single, multi-slot estimation value X.
  • These steps are repeated for an adjacent and partially overlapping plurality of slots centered around slot n, providing a second multi-slot estimation value Y.
  • a tapped delay line is used to forward instantaneous channel estimation values received earlier in time for combination with later received values.
  • the line slope between points X and Y is calculated through simple linear interpolation, providing a different transfer characteristic estimated value for each symbol contained within the slot under analysis.
  • a third point Z (not shown) may then be calculated for slot n + 1 and a linear interpolation derived between Y and Z to provide a separate estimated transfer characteristic for each symbol in slot n + 1 .
  • K is preferably not so great as to noticeably affect real-time processing performance, and also not so small as to minimize advantageous random noise effects.
  • the instantaneous channel estimation is derived from the plurality Np of pilot symbols in each of a plurality of slots 1 120.
  • the m'th pilot symbol in the n'th slot of the / 'th path can be represented as r/(n,m)
  • the instantaneous channel estimation comprising the average of the Np pilot symbols in the n'th slot, can be expressed as:
  • a plurality of instantaneous channel estimations 1 1 10 from a plurality of slots 1 120 are combined and the average forwarded to an adder.
  • this step is first performed for slot n-1 by averaging the instantaneous estimation values in slots n-3, n-2, and n-1 , providing multi-slot averaged value 1 124.
  • Another multi-slot averaged element is then derived for slot n, providing value 1 122.
  • Multi-slot averaged values 1 122 and 1 124 are then linearly interpolated, providing a highly accurate estimated transfer function for the j'th symbol in the n'th slot according to the equation:
  • the inventive MALI (Multi-Slot Averaged Linear Interpolation) method thereby provides an effective substitute for the commonly used WMSA (Weighted Multi- Slot Averaging) technique.
  • the MALI method may be executed within an iterative channel estimation technique.
  • FIG 7A there is illustrated the IMALI (Iterative MALI) method of the invention, implementing the above-described MALI method in an iterative fashion, as will be understood to those having ordinary skill in the relevant art and as further described below.
  • Figure 7B provides a second block diagram illustrating the inventive IMALI method as implemented across multiple channel paths.
  • _A Maximum Ratio Combiner ("MRC") is used before the data is forwarded to the decoder, as will be understood by those skilled in the art.
  • the initial iteration is performed using the basic MALI method. This initial ("O'th") iteration is then used to demodulate and average later received data. Additional iterations may be introduced as desired for accuracy, although experimental data has shown only two iterations are needed to provide a good balance of accuracy and tolerable processing and feedback delay.
  • Eb/No represents the signal to noise ratio, or the ratio of energy (the power with which data is transmitted in a channel or plurality of channels) to the number of errors received, and is plotted in figure 8 in decibels.
  • the Eb/No is plotted as a function of the Doppler frequency, which increases with, for example, the speed of a vehicle relative to a stationary transmitting facility such as a base station. From figure 8, it is apparent that the inventive MALI and IMALI methods provide considerable performance increases, particularly at higher Doppler frequencies (such as those encountered on a high-speed rail line).
  • the present invention therefore provides a novel method, and a system in which the method may be implemented, for estimating channel transfer characteristics using pilot symbols in a multi-slot averaged, linear interpolation.
  • the present invention has been shown and described with respect to preferred embodiments, various changes and modifications lie within the spirit and scope of the claimed invention.
  • the MALI and IMALI techniques are easily adapted for use with a dedicated pilot channel instead of or in combination with embedded pilot symbols.
  • the corresponding structures, materials, acts, and equivalents of all means or step plus function elements in the claims are intended to include any structure, material, or acts for performing the functions in combination with other elements as specifically claimed.

Landscapes

  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)
  • Cable Transmission Systems, Equalization Of Radio And Reduction Of Echo (AREA)

Abstract

A method of Multi-slot Average Linear Interpolation (MALI) to estimate channel transfer characteristics at a receiver in a wireless network. The method and system are particularly well suited to use in wideband CDMA transmission systems. The steps of the method include calculating an instantaneous channel estimation (Channel Estimator) from each slot in a transmitted signal (515), combining the instantaneous channel estimations for adjacent slot groups (1122, 1124), and linearly interpolating between multi-slot averages to provide each symbol within a slot an accurate estimate of transfer characteristics for that symbol.

Description

METHOD AND SYSTEM FOR CHANNEL ESTIMATION USING MULTI-SLOT AVERAGED INTERPOLATION
BACKGROUND OF THE INVENTION
1 . Field of the Invention
The present invention relates generally to the field of telecommunications, and more particularly to the field of wireless communications.
2. Discussion of the Background Art
Wireless communication systems are commonly employed to provide voice and data communications to a plurality of mobile units or subscribers. Since 1991 , the availability of TDMA (Time Division Multiple Access) digital cellular and Personal Communication Systems (PCS) technologies has led to wide adoption of wireless communications. In 1995, Code Division Multiple Access (CDMA) technology was introduced and is now used in PCS and cellular systems as well. Most recently, great interest and effort has been focussed on deploying a Wideband CDMA ( W-CDMA) system in the wireless communication market. The most recent effort at standardizing W-CDMA resulted in the IMT-2000 standard, to be deployed by year 2002 to 2004, as discussed in Tero Ojanpera and Ramjee Prasad, Wideband CDMA for Third Generation Mobile Communications, Artech House, 1998, and Jong Sam Lee and Leonard E. Miller, CDMA Systems Engineering Handbook, Artech House, 1998, which are incorporated herein by reference.
In general, figure 1 illustrates a transceiver in a wireless communications system. A desired signal is subject to multipath fading (slow or fast) introduced by communication channel medium 72, which manifests itself as interference among many signal paths, each path having a different time delay. To overcome the communication channel interference and its. effect on the signal constellation, pilot symbols are transmitted within the data symbols so as to estimate the fading channel characteristics and reduce signal errors. Fading may include long-term fading due to variations in terrain along the signal propagation path, as well as short-term multipath fading due to reflections from features such as buildings which cause fluctuations in received signal strength and other distortions at a receiving station. Mobile terrestrial radiotelephone communications are particularly susceptible to multipath fading because the signal pathways tend to be close to the ground. Doppler shift-induced (Rayleigh) fading is also problematic for receivers and transmitters moving at high speeds relative to one another.
As signals from diverse paths typically exhibit uncorrelated fading, they may be combined in the receiver to ameliorate fading effects. Similarly, radiotelephone communications signals may be transmitted and received using diverse polarizations and combined at the receiver to take advantage of the low correlation of fading between signals of differing polarizations. Despite the theoretical advantages of these reception techniques, however, sufficient diversity gain may not be possible because of limitations on antenna placement.
As illustrated in figure 1 , a sequence of pilot symbols is time-multiplexed with information symbols, where the information symbols carry voice, data or other information. This technique is often referred to as pilot symbol assisted modulation. Symbol sequence 51 5 is communicated over the radiotelephone communications channel 72. A despreader 630 separates pilot symbol data 632 corresponding to the transmitted pilot symbols from information symbol data corresponding to the transmitted information symbols. The estimated transfer characteristic is then used in a Channel Estimator 640 to compensate estimation of the information symbols in response to distortion induced by the radio communications channel 72.
Pilot symbol assisted modulation can provide improved immunity to fading, but may have several drawbacks. In general, the error probability of symbol estimates tends to increase for those symbols which are most removed in time from the pilot symbols in the symbol sequence, contributing to the overall bit error rate for radiotelephone communications communicated over the channel. In order to reduce the bit error rate, pilot symbols may be inserted in the symbol sequence at smaller intervals to reduce the separation between the pilot symbols and to increase the accuracy of the estimated channel transfer characteristic. As pilot symbols generally have no information content, however, increasing the frequency of pilot symbols in the transmitted symbol sequence can reduce the potential information capacity of the channel, which may in turn reduce the number of channels a system can provide and the quality of each channel. Adding pilot symbols may also reduce power efficiency by wasting transmit power on non- informational symbols. While time-multiplexed pilot symbols allow down link adaptive antennas at the base station to be implemented, embedded pilot symbols are few in number and have only the same energy as the rest of the data symbols, so challenges persist
Addressing the shortcomings of using time-multiplexed pilot symbols has taken on added commercial import because of the planned widespread adoption of W-CDMA as a next generation wireless communication standard, wherein time- multiplexed pilot symbols are to be used.
There are a number of available approaches to improving channel transfer characteristic estimation in embedded pilot systems. Two particularly effective available approaches include Weighted Multi-Slot Averaging (WMSA), described in "Channel Estimation Using Time Multiplexed Pilot Symbols for Coherent Rake Combining for DS-CDMA Mobile Radio" by Andoy, et al., 1 997, incorporated herein by reference, and Iterative Channel Estimation (ICE), described in The Use of Iterative Channel Estimation (ICE) to Improve Link Margin in Wideband CDMA Systems", by Schmidl, et al., 1 999, incorporated herein by reference.
Figure 2 illustrates the WMSA technique and operational principals, intended to improve upon using a single pilot symbol for channel transfer characteristic estimation (instantaneous channel estimation). WCDMA downlink signals are transmitted in frames of duration 10ms and comprise 1 5 time slots with duration 0.66ms. For most data rates, there are four pilot symbols per time slot. One way to estimate the channel transfer characteristic is therefore to average the pilot symbols from multiple time slots, thereby reducing the deleterious effect of random errors and signal aberrations. Typically, 2*K sets of pilot symbols are averaged, with K sets preceding and K sets following the data symbols of the current time slot as shown in Figure 2. The WMSA name is derived from the different weights applied to the pilot symbols depending on the distance from the time slot under analysis. If the Doppler rate were known, then the ideal coefficients could be found using a known filter. For K = 2, the standard, coefficients experimentally derived to provide good performance over a wide range of Doppler frequencies are 1 .0 for near symbols and 0.6 for distant symbols, as shown and well known in the art. For K = 3, the optimal coefficients for near, medium and far are typically known to be 1 .0, 0.8, and 0.3, respectively. One problem not addressed by WMSA is revealed in high fading situations where there may be considerable shifts in fading from one pilot segment to another within adjacent time slots. This shortcoming of WMSA led to the development of Iterative Channel Estimation (ICE), wherein both pilot and data symbols are used to estimate channel transfer characteristics. The word "iterative" is used since an initial channel estimate is made using only the pilot symbols, and then channel estimates are refined in one or more iterations by using both pilot and data symbols.
Figure 3 illustrates the known ICE method in block diagram format. In the first (Oth) iteration, the standard WMSA channel transfer characteristic estimation method is used. The estimation derived from the Oth iteration is then used to remove the data modulation for the symbols in the shaded block. Next, as illustrated in figure 4, a sliding average window using both pilot and data symbols are used to make subsequent estimations. It should be noted that the channel estimate illustrated in figure 4 applies only to second and later iterations, and is calculated for the symbol in the center of the window. In actuality, there is a different channel estimate for each symbol. The number of symbols used in the moving average is chosen according to the approximate Doppler rate. For high Doppler rates, one time slot of symbols on either side of the chosen symbol is averaged, and for low Doppler rates two time slots of symbols are averaged. An estimate of the approximate Doppler frequency is performed before, typically using WMSA, so this represents no additional complexity for the ICE- enabled receiver.
There remain, however, significant shortcomings of both the WMSA and the ICE methods, particularly with white noise and extremely high Doppler rates. With WMSA, a random noise error effect can corrupt an entire data frame. With ICE, feedback error leads to diminished improvement over WMSA at high data rates. There is, therefore, a need in the art for an improved method of estimating channel transfer characteristics for WCDMA and other received wireless communications signals.
SUMMARY OF THE INVENTION
To address the shortcomings of the available art, the invention provides an improved method for channel estimation, by interpolating demodulation values derived from an aggregate of a plurality of instantaneous channel estimations. It is therefore a first advantage of the invention to provide, in a radiotelephone communications system, the system including a transmitter transmitting a signal comprising a plurality of symbols grouped within time slots, a method of estimating a signal transfer characteristic at a receiver for each of the symbols, the method comprising the steps of calculating an instantaneous transfer characteristic estimation for each one of a first plurality of slots, the first plurality of slots including a first slot under analysis, combining the instantaneous channel estimations calculated for the first plurality of slots, creating a first multi-slot averaged estimate, calculating an instantaneous transfer characteristic estimation for each one of a second plurality of slots, the second plurality of slots including a second slot under analysis, combining the instantaneous channel estimations calculated for the second plurality of slots, creating a second multi-slot averaged estimate, interpolating between said first multi-slot averaged estimate and said second multi-slot averaged estimate, and calculating a transfer function estimate for a symbol within said first slot under analysis according to the interpolation of step (e). It is another advantage of the invention to provide a method of demodulating a wireless communication signal, the signal comprising a plurality of time slots, each time slot comprising a plurality of symbols, .the method comprising the steps of calculating a first multi-slot averaged estimation of the transfer characteristic needed to demodulate a first plurality of slots, the first plurality of slots including a first slot under analysis, calculating a second multi-slot averaged estimation of the transfer characteristic needed to demodulate a second plurality of slots, the second plurality of slots including a second slot under analysis, linearly interpolating between said first multi-slot averaged estimate and said second multi-slot averaged estimate, thereby calculating a transfer function estimate for each symbol within said first slot under analysis, and demodulating a symbol within said first slot under analysis, thereafter demodulating each of a plurality of symbols within said first slot under analysis, each symbol being demodulated by a distinctly calculated transfer function.
It is yet another advantage of the invention to provide a system and structure for implementing the above-described methods for estimating transfer characteristics and demodulation wireless communication symbols.
BRIEF DESCRIPTION OF THE DRAWINGS
The aforementioned advantages of the present invention as well as additional advantages thereof will be more clearly understood hereinafter as a result of a detailed description of a preferred embodiment of the invention when taken in conjunction with the following drawings.
FIG. 1 schematically illustrates wireless communications systems and frame structure of time multiplexed pilot symbols for down link, available in the art. FIG. 2 is a block diagram illustrating the available Weighted Multi-Slot Averaging (WMSA) channel estimation technique.
FIG. 3 is a block diagram illustrating Iterative Channel Estimation (ICE). FIG. 4 further illustrates the available ICE technique. FIG. 5 is a block diagram illustrating the method and system of the invention. FIG. 6 graphically illustrates the multi-slot averaging and linear interpolation method and system of the invention. FIGs. 7A and 7B illustrate the method and system of the invention within an iterative embodiment to provide increased accuracy.
FIG. 8 graphically illustrates the efficacy of the method and system of the invention through display of the data in Table 1 . While the invention is susceptible to various modifications and alternative forms, specific embodiments thereof have been shown by way of example in the drawings and will herein be described in detail. It should be understood, however, that the detailed description is not intended to limit the invention to the particular forms disclosed. On the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the invention as defined by the appended claims.
DETAILED DESCRIPTION OF THE INVENTION
Referring next to figure 5, there is provided a block diagram illustrating the method of the present invention. First, a plurality K (preferably three for typical speech data rates) of instantaneous channel estimations are derived from Np pilot symbols found within each of a like plurality K of adjacent slots centered around slot n-1 . The instantaneous channel estimations from a plurality of slots are then combined to provide a single, multi-slot estimation value X. These steps are repeated for an adjacent and partially overlapping plurality of slots centered around slot n, providing a second multi-slot estimation value Y. A tapped delay line is used to forward instantaneous channel estimation values received earlier in time for combination with later received values. Next, the line slope between points X and Y is calculated through simple linear interpolation, providing a different transfer characteristic estimated value for each symbol contained within the slot under analysis. A third point Z (not shown) may then be calculated for slot n + 1 and a linear interpolation derived between Y and Z to provide a separate estimated transfer characteristic for each symbol in slot n + 1 .
Since slot n cannot be analyzed until slot n + [( -1 )/2] is received and its instantaneous channel estimation calculated, K is preferably not so great as to noticeably affect real-time processing performance, and also not so small as to minimize advantageous random noise effects.
Referring next to figure 6, there is provided a schematic illustration of the inventive multi-slot averaged linear interpolation (MALI) technique for estimating channel transfer characteristics. First, the instantaneous channel estimation is derived from the plurality Np of pilot symbols in each of a plurality of slots 1 120. As known in the art, the m'th pilot symbol in the n'th slot of the / 'th path can be represented as r/(n,m), and the instantaneous channel estimation, comprising the average of the Np pilot symbols in the n'th slot, can be expressed as:
Figure imgf000009_0001
Next, a plurality of instantaneous channel estimations 1 1 10 from a plurality of slots 1 120, preferably three (as illustrated), are combined and the average forwarded to an adder. In the example shown, this step is first performed for slot n-1 by averaging the instantaneous estimation values in slots n-3, n-2, and n-1 , providing multi-slot averaged value 1 124. Another multi-slot averaged element is then derived for slot n, providing value 1 122.
Multi-slot averaged values 1 122 and 1 124 are then linearly interpolated, providing a highly accurate estimated transfer function for the j'th symbol in the n'th slot according to the equation:
Figure imgf000009_0002
The inventive MALI (Multi-Slot Averaged Linear Interpolation) method thereby provides an effective substitute for the commonly used WMSA (Weighted Multi- Slot Averaging) technique. Moreover, the MALI method may be executed within an iterative channel estimation technique. Referring to figure 7A, there is illustrated the IMALI (Iterative MALI) method of the invention, implementing the above-described MALI method in an iterative fashion, as will be understood to those having ordinary skill in the relevant art and as further described below. Figure 7B provides a second block diagram illustrating the inventive IMALI method as implemented across multiple channel paths._A Maximum Ratio Combiner ("MRC") is used before the data is forwarded to the decoder, as will be understood by those skilled in the art. The initial iteration is performed using the basic MALI method. This initial ("O'th") iteration is then used to demodulate and average later received data. Additional iterations may be introduced as desired for accuracy, although experimental data has shown only two iterations are needed to provide a good balance of accuracy and tolerable processing and feedback delay.
Referring next to figure 8, there is illustrated the efficacy of the inventive IMALI method in comparison with the available WMSA and ICE methods described above, through a graphical representation of the data provided in Table 1 below.
Figure imgf000010_0001
TABLE 1
In Table 1 and figure 8, "Eb/No" represents the signal to noise ratio, or the ratio of energy (the power with which data is transmitted in a channel or plurality of channels) to the number of errors received, and is plotted in figure 8 in decibels. The Eb/No is plotted as a function of the Doppler frequency, which increases with, for example, the speed of a vehicle relative to a stationary transmitting facility such as a base station. From figure 8, it is apparent that the inventive MALI and IMALI methods provide considerable performance increases, particularly at higher Doppler frequencies (such as those encountered on a high-speed rail line). The present invention therefore provides a novel method, and a system in which the method may be implemented, for estimating channel transfer characteristics using pilot symbols in a multi-slot averaged, linear interpolation. Although the present invention has been shown and described with respect to preferred embodiments, various changes and modifications lie within the spirit and scope of the claimed invention. For example, the MALI and IMALI techniques are easily adapted for use with a dedicated pilot channel instead of or in combination with embedded pilot symbols. Thus, the corresponding structures, materials, acts, and equivalents of all means or step plus function elements in the claims are intended to include any structure, material, or acts for performing the functions in combination with other elements as specifically claimed.

Claims

WHAT IS CLAIMED IS:
1 . In a radiotelephone communications system, the system including a transmitter transmitting a signal comprising a plurality of symbols grouped within time slots, a method of estimating a signal transfer characteristic at a receiver for each of the symbols, the method comprising the steps of: a) calculating an instantaneous transfer characteristic estimation for each one of a first plurality of slots, the first plurality of slots including a first slot under analysis; b) combining the instantaneous channel estimations calculated for the first plurality of slots, creating a first multi-slot averaged estimate; c) calculating an instantaneous transfer characteristic estimation for each one of a second plurality of slots, the second plurality of slots including a second slot under analysis; d) combining the instantaneous channel estimations calculated for the second plurality of slots, creating a second multi-slot averaged estimate; e) interpolating between said first multi-slot averaged estimate and said second multi-slot averaged estimate; f) calculating a transfer function estimate for a symbol within said first slot under analysis according to the interpolation of step (e).
2. The method of claim 1 , further comprising the step of demodulating a symbol in a manner based upon the transfer function estimate calculated in step
(f).
3. The method of claim 1 , further comprising the step of demodulating symbols contained within a third plurality of slots in a manner at least partially dependent upon at least one of the symbols within said first slot.
4. The method of claim 1 , wherein said interpolation step comprises linear interpolation.
5. The method of claim 1 , wherein said first and said second slot under analysis are adjacent slots.
6. The method of claim 1 , wherein a transfer characteristic of a j'th symbol in an n'th slot is calculated in step (f) according to the equation:
Figure imgf000013_0001
where K equals the number of slots in the first and second pluralities of slots.
7. In a radiotelephone communications system receiver, the system including a transmitter transmitting a signal comprising a plurality of symbols grouped within time slots and a plurality of receivers receiving the transmitted signal, an apparatus for estimating a signal transfer characteristic at a receiver for each of the symbols, the apparatus comprising: a) means for calculating an instantaneous transfer characteristic estimation for each one of a first plurality of slots, the first plurality of slots including a first slot under analysis; b) means for combining the instantaneous channel estimations calculated for the first plurality of slots, creating a first multi-slot averaged estimate; c) means for calculating an instantaneous transfer characteristic estimation for each one of a second plurality of slots, the second plurality of slots including a second slot under analysis; d) means for combining the instantaneous channel estimations calculated for the second plurality of slots, creating a second multi-slot averaged estimate; e) means for interpolating between said first multi-slot averaged estimate, and said second multi-slot averaged estimate; f) means for calculating a transfer function estimate for a symbol within said first slot under analysis according to the linear interpolation of step (e).
8. The apparatus of claim 7, further comprising means for demodulating a symbol in a manner based upon the transfer function calculated by said means for calculating a transfer function estimate.
9. The apparatus of claim 7, further comprising means for demodulating a symbol contained within a third plurality of slots in a manner at least partially dependent upon at least one of the symbols within said first slot.
10. The apparatus of claim 7, wherein said first and said second slot under analysis are adjacent slots.
1 1 . The apparatus of claim 7, wherein said interpolation comprises linear interpolation.
1 2. The apparatus of claim 7, wherein a transfer characteristic of a j'th symbol in an n'th slot is calculated according to the equation:
Figure imgf000014_0001
where K equals the number of slots in the first and second pluralities of slots.
13. A method of demodulating a wireless communication signal, the signal comprising a plurality of time slots, each time slot comprising a plurality of symbols, the method comprising the steps of: a) calculating a first multi-slot averaged estimation of the transfer characteristic needed to demodulate a first plurality of slots, the first plurality of slots including a first slot under analysis; b) calculating a second multi-slot averaged estimation of the transfer characteristic needed to demodulate a second plurality of slots, the second plurality of slots including a second slot under analysis; c) linearly interpolating between said first multi-slot averaged estimate and said second multi-slot averaged estimate, thereby calculating a transfer function estimate for each symbol within said first slot under analysis; d) demodulating a symbol within said first slot under analysis; e) repeating step (d) for a plurality of symbols within said first slot under analysis, each symbol being demodulated by a distinct transfer function as calculated in step (c).
14. The method of claim 13, further comprising the step of demodulating symbols contained within a third plurality of slots in a manner at least partially dependent upon at least one of the symbols within said first slot.
1 5. The method of claim 13, wherein said first and said second slot under analysis are adjacent slots.
1 6. The method of claim 1 3, wherein a transfer characteristic of a j'th symbol in an n'th slot is calculated in step (c) according to the equation:
Figure imgf000015_0001
where K equals the number of slots in the first and second pluralities of slots.
PCT/US2001/008423 2000-03-24 2001-03-16 Method and system for channel estimation using multi-slot averaged interpolation WO2001073983A1 (en)

Priority Applications (3)

Application Number Priority Date Filing Date Title
JP2001571584A JP2003529282A (en) 2000-03-24 2001-03-16 Channel estimation method and apparatus using multislot average interpolation
EP01918746A EP1266468A4 (en) 2000-03-24 2001-03-16 Method and system for channel estimation using multi-slot averaged interpolation
AU2001245788A AU2001245788A1 (en) 2000-03-24 2001-03-16 Method and system for channel estimation using multi-slot averaged interpolation

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US09/534,940 US6314131B1 (en) 2000-03-24 2000-03-24 Method and system for channel estimation using multi-slot averaged interpolation
US09/534,940 2000-03-24

Publications (1)

Publication Number Publication Date
WO2001073983A1 true WO2001073983A1 (en) 2001-10-04

Family

ID=24132146

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2001/008423 WO2001073983A1 (en) 2000-03-24 2001-03-16 Method and system for channel estimation using multi-slot averaged interpolation

Country Status (7)

Country Link
US (1) US6314131B1 (en)
EP (1) EP1266468A4 (en)
JP (1) JP2003529282A (en)
CN (1) CN100568784C (en)
AU (1) AU2001245788A1 (en)
TW (1) TW498636B (en)
WO (1) WO2001073983A1 (en)

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2004004260A2 (en) * 2002-06-26 2004-01-08 Arraycomm, Inc. Training using overhead data in a wireless communications network
EP1596548A2 (en) * 2004-05-13 2005-11-16 NTT DoCoMo, Inc. Channel estimation device, channel estimation method, and wireless receiver
JP2006518165A (en) * 2003-02-18 2006-08-03 クゥアルコム・インコーポレイテッド Communication receiver with rake-based adaptive equalizer
CN100336325C (en) * 2002-06-19 2007-09-05 上海贝尔有限公司 Channel estimation method of Rake receiver
KR101002857B1 (en) 2003-09-16 2010-12-21 삼성전자주식회사 Method and apparatus for estimating a velocity of a mobile terminal in a mobile communication system
US8135351B2 (en) 2003-02-18 2012-03-13 Qualcomm Incorporated Systems and methods for improving channel estimation
US8422544B2 (en) 2003-02-18 2013-04-16 Qualcomm Incorporated Communication receiver with an adaptive equalizer
WO2014071792A1 (en) * 2012-11-07 2014-05-15 中兴通讯股份有限公司 Multi-path combination method, device and mobile communication system

Families Citing this family (22)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6483821B1 (en) * 1998-04-22 2002-11-19 Texas Instruments Incorporated CDMA mobile communications system and method with improved channel estimation and pilot symbol transmission
JP3872647B2 (en) * 1999-04-02 2007-01-24 株式会社エヌ・ティ・ティ・ドコモ Channel estimation apparatus and method, demodulation apparatus and method, and fading frequency determination apparatus and method
US6614857B1 (en) * 1999-04-23 2003-09-02 Lucent Technologies Inc. Iterative channel estimation and compensation based thereon
JP3443113B2 (en) * 2001-08-08 2003-09-02 松下電器産業株式会社 Wireless receiving apparatus and wireless receiving method
KR100444730B1 (en) * 2001-12-24 2004-08-16 한국전자통신연구원 Demodulating apparatus of a base station for wideband code division multiple access system and method thereof
GB2386038A (en) * 2002-02-27 2003-09-03 Motorola Inc Channel estimation in a radio receiver
JP4470377B2 (en) * 2003-02-28 2010-06-02 株式会社日立製作所 Propagation path estimation method in mobile communication system
US7385617B2 (en) 2003-05-07 2008-06-10 Illinois Institute Of Technology Methods for multi-user broadband wireless channel estimation
KR100571138B1 (en) * 2004-01-15 2006-04-13 삼성전자주식회사 Method of forming beam using a pilot signal, apparatus and system for performing the same
US7058117B1 (en) * 2004-07-26 2006-06-06 Sandbridge Technologies, Inc. Rake receiver with multi-path interference accommodation
CN100394826C (en) * 2004-09-02 2008-06-11 上海贝尔阿尔卡特股份有限公司 Channel quality interpotation method
US20080205555A1 (en) * 2005-01-12 2008-08-28 Nxp B.V. Method and Apparatus for Channel Estimation
US20080063041A1 (en) * 2006-09-08 2008-03-13 Noam Galperin Fast training equalization of a signal
US8073046B2 (en) * 2007-06-14 2011-12-06 Zoran Corporation Fast training equalization of a signal by using adaptive-iterative algorithm with main path phase correction
EP2328310B1 (en) * 2009-11-27 2017-01-11 Sequans Communications Method for estimating a received signal and corresponding device
ES2729264T3 (en) * 2010-06-16 2019-10-31 Ericsson Telefon Ab L M Methods and arrangements for transmitting and decoding reference signals
CN103120016B (en) * 2010-06-16 2016-06-08 爱立信(中国)通信有限公司 The low latency channel estimating of downlink mimo
US9967112B2 (en) * 2012-05-03 2018-05-08 Apple Inc. Apparatus and methods for adaptively resuming radio channel estimation
FR3034274B1 (en) 2015-03-27 2017-03-24 Stmicroelectronics Rousset METHOD FOR PROCESSING AN ANALOGUE SIGNAL FROM A TRANSMISSION CHANNEL, ESPECIALLY AN ONLINE CARRIER CURRENT VEHICLE SIGNAL
FR3038800A1 (en) 2015-07-09 2017-01-13 Stmicroelectronics Rousset METHOD FOR PROCESSING A SIGNAL FROM A TRANSMISSION CHANNEL, PARTICULARLY AN IN-LINE CARRIER CURRENT VEHICLE SIGNAL, AND ESPECIALLY CHANNEL ESTIMATION, AND CORRESPONDING RECEIVER
US9838077B2 (en) 2015-07-09 2017-12-05 Stmicroelectronics (Rousset) Sas Method for estimating a cyclostationary transmission channel, and corresponding receiver
FR3038801B1 (en) * 2015-07-09 2017-07-21 Stmicroelectronics Rousset METHOD OF ESTIMATING A TEMPORALLY INVARIANT TRANSMISSION CHANNEL AND CORRESPONDING RECEIVER

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5862192A (en) * 1991-12-31 1999-01-19 Lucent Technologies Inc. Methods and apparatus for equalization and decoding of digital communications channels using antenna diversity
US5862156A (en) * 1991-12-31 1999-01-19 Lucent Technologies Inc. Adaptive sequence estimation for digital cellular radio channels
US5982761A (en) * 1996-09-30 1999-11-09 Amsc Subsidiary Corporation Methods of communicating over time-division multiple-access (TDMA) communication systems with distinct non-time-critical and time-critical network management information transmission rates

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB2288101B (en) * 1994-03-22 1998-04-29 Nokia Mobile Phones Ltd Multi-mode radio telephone
WO1996000470A1 (en) * 1994-06-23 1996-01-04 Ntt Mobile Communications Network Inc. Method and device for receiving code-division multiplex signal
US5797715A (en) * 1995-06-08 1998-08-25 Mcneilus Truck And Manufacturing, Inc. Collection apparatus
FI112831B (en) * 1999-04-28 2004-01-15 Nokia Corp A method for generating a channel estimate and a receiver

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5862192A (en) * 1991-12-31 1999-01-19 Lucent Technologies Inc. Methods and apparatus for equalization and decoding of digital communications channels using antenna diversity
US5862156A (en) * 1991-12-31 1999-01-19 Lucent Technologies Inc. Adaptive sequence estimation for digital cellular radio channels
US5982761A (en) * 1996-09-30 1999-11-09 Amsc Subsidiary Corporation Methods of communicating over time-division multiple-access (TDMA) communication systems with distinct non-time-critical and time-critical network management information transmission rates

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
See also references of EP1266468A4 *

Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN100336325C (en) * 2002-06-19 2007-09-05 上海贝尔有限公司 Channel estimation method of Rake receiver
WO2004004260A2 (en) * 2002-06-26 2004-01-08 Arraycomm, Inc. Training using overhead data in a wireless communications network
WO2004004260A3 (en) * 2002-06-26 2004-05-21 Arraycomm Inc Training using overhead data in a wireless communications network
JP2006518165A (en) * 2003-02-18 2006-08-03 クゥアルコム・インコーポレイテッド Communication receiver with rake-based adaptive equalizer
US8135351B2 (en) 2003-02-18 2012-03-13 Qualcomm Incorporated Systems and methods for improving channel estimation
US8422544B2 (en) 2003-02-18 2013-04-16 Qualcomm Incorporated Communication receiver with an adaptive equalizer
US8615200B2 (en) 2003-02-18 2013-12-24 Qualcomm Incorporated Systems and methods for improving channel estimation
KR101002857B1 (en) 2003-09-16 2010-12-21 삼성전자주식회사 Method and apparatus for estimating a velocity of a mobile terminal in a mobile communication system
EP1596548A2 (en) * 2004-05-13 2005-11-16 NTT DoCoMo, Inc. Channel estimation device, channel estimation method, and wireless receiver
EP1596548A3 (en) * 2004-05-13 2007-12-05 NTT DoCoMo, Inc. Channel estimation device, channel estimation method, and wireless receiver
US7583739B2 (en) 2004-05-13 2009-09-01 Ntt Docomo, Inc. Channel estimation device, channel estimation method, and wireless receiver
WO2014071792A1 (en) * 2012-11-07 2014-05-15 中兴通讯股份有限公司 Multi-path combination method, device and mobile communication system

Also Published As

Publication number Publication date
JP2003529282A (en) 2003-09-30
EP1266468A1 (en) 2002-12-18
EP1266468A4 (en) 2003-04-09
CN1430829A (en) 2003-07-16
AU2001245788A1 (en) 2001-10-08
TW498636B (en) 2002-08-11
US6314131B1 (en) 2001-11-06
CN100568784C (en) 2009-12-09

Similar Documents

Publication Publication Date Title
US6314131B1 (en) Method and system for channel estimation using multi-slot averaged interpolation
EP0605955B1 (en) Method and apparatus for compensating multipath fading and simulcast interference in a radio signal
US7346126B2 (en) Method and apparatus for channel estimation using plural channels
US7796680B2 (en) Mobile communication system and wireless apparatus to be used for the same
US6907092B1 (en) Method of channel order selection and channel estimation in a wireless communication system
US5694388A (en) CDMA demodulator and demodulation method
US20030012308A1 (en) Adaptive channel estimation for wireless systems
US7889822B2 (en) Frequency domain equalizer with one dominant interference cancellation for dual antenna radio
US8320848B2 (en) Method and system for diversity processing including using dedicated pilot method for open loop
KR100630039B1 (en) Apparatus and method for receiving data in mobile communication system using adaptive antenna array scheme
US5574989A (en) Time division multiple access cellular communication system and method employing base station diversity transmission
JP3889926B2 (en) Method and apparatus for transmitting data over a wireless interface in a wireless communication system
WO1999044319A1 (en) Method and apparatus for interference rejection
US20030198285A1 (en) Method and apparatus for estimating speed-adapted channel
EP1494368A2 (en) Receiver with adaptive antenna array
US20040062328A1 (en) Receiver of digital data bursts comprising an antenna array, and a method of receiving
KR20050015738A (en) Apparatus and method for receiving data in mobile communication system using adaptive antenna array scheme
US8320353B2 (en) Method and system for estimating adaptive combined channel in CDMA system based on time division duplex system
KR101393428B1 (en) Chip equalizer and equalizing method
WO2002021711A1 (en) A method of channel estimation and the receive system for implementing said method
MXPA99000037A (en) Device for communications and method for suppression of interference using adaptable equalization in a difus spectrum communications system
MX2008005275A (en) Iteractive frequency correction using training sequence and data bits
WO2012171550A1 (en) Method and device for error compensation in a communications network

Legal Events

Date Code Title Description
AK Designated states

Kind code of ref document: A1

Designated state(s): AE AG AL AM AT AU AZ BA BB BG BR BY BZ CA CH CN CR CU CZ DE DK DM DZ EE ES FI GB GD GE GH GM HR HU ID IL IN IS JP KE KG KP KR KZ LC LK LR LS LT LU LV MA MD MG MK MN MW MX MZ NO NZ PL PT RO RU SD SE SG SI SK SL TJ TM TR TT TZ UA UG UZ VN YU ZA ZW

AL Designated countries for regional patents

Kind code of ref document: A1

Designated state(s): GH GM KE LS MW MZ SD SL SZ TZ UG ZW AM AZ BY KG KZ MD RU TJ TM AT BE CH CY DE DK ES FI FR GB GR IE IT LU MC NL PT SE TR BF BJ CF CG CI CM GA GN GW ML MR NE SN TD TG

121 Ep: the epo has been informed by wipo that ep was designated in this application
DFPE Request for preliminary examination filed prior to expiration of 19th month from priority date (pct application filed before 20040101)
ENP Entry into the national phase

Ref country code: JP

Ref document number: 2001 571584

Kind code of ref document: A

Format of ref document f/p: F

WWE Wipo information: entry into national phase

Ref document number: 2001918746

Country of ref document: EP

WWE Wipo information: entry into national phase

Ref document number: 018098959

Country of ref document: CN

WWP Wipo information: published in national office

Ref document number: 2001918746

Country of ref document: EP

WWR Wipo information: refused in national office

Ref document number: 2001918746

Country of ref document: EP

WWW Wipo information: withdrawn in national office

Ref document number: 2001918746

Country of ref document: EP